(IEEE Communication Scociety, 2013-09) Bagula, Antoine; Djenouri, Djamel; Karbab, Elmouatezbillah
Network management is revisited in the emerging
ubiquitous sensor networks (USNs) that form the Internet-ofthe-
Things (IoT) with the objective of evaluating the impact
of traffic engineering on energy efficiency and assessing if
routing simplicity translates into scalability. USN management
is formulated as a local optimization problem minimizing the
number of traffic flows transiting by a node: the nodes traffic flow
interference with other nodes. The least interference beaconing
algorithm (LIBA) is proposed as an algorithmic solution to the
problem, and the least interference beaconing protocol (LIBP)
as its protocol implementation. LIBP extends the beaconing
process widely used by collection protocols with load balancing
to improve the USN energy efficiency. Simulation results reveal
the relative efficiency of the resulting traffic engineering scheme
compared to state of the art protocols. These results show up
to 30% reduction in power consumption compared to TinyOS
beaconing (TOB), and up to 40% compared to collection tree
protocol (CTP) while sustaining better performance in terms of
scalability
